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lg:col-span-6 lg:grid-cols-6"><div class="col-span-4 col-start-2 md:col-span-4 lg:col-span-6 lg:col-start-1"><style data-emotion="css 15gy64g">.css-15gy64g{margin:0;color:#b8c4c2;font-family:Source Code Pro;font-size:14px;line-height:24px;letter-spacing:2px;}@media screen and (min-width: 460px){.css-15gy64g{font-size:14px;line-height:24px;}}@media screen and (min-width: 768px){.css-15gy64g{font-size:14px;line-height:24px;}}@media screen and (min-width: 1024px){.css-15gy64g{font-size:14px;line-height:24px;}}</style><p class="text-center uppercase md:text-left css-15gy64g"><style data-emotion="css 17iqwpm">.css-17iqwpm{background-color:transparent;color:#00684A;}</style><mark class="border-inc00 border-l-inc20 border-solid border-green40 pl-inc20 font-medium !text-eyebrowInverseSecondary css-17iqwpm">ATLAS</mark></p></div><div class="col-span-6 col-start-1 mt-inc40 text-center md:col-span-4 md:text-left lg:col-span-6 lg:mt-inc110"><style data-emotion="css 1szj1vl">.css-1szj1vl{margin:0;color:#ffffff;font-family:MongoDB Value Serif,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:48px;font-weight:400;line-height:56px;}@media screen and (min-width: 460px){.css-1szj1vl{font-size:48px;line-height:56px;}}@media screen and (min-width: 768px){.css-1szj1vl{font-size:48px;line-height:56px;}}@media screen and (min-width: 1024px){.css-1szj1vl{font-size:96px;line-height:112px;}}</style><h1 class="break-words font-normal css-1szj1vl">Vector Search</h1></div><div class="col-span-6 col-start-1 mt-inc40 text-center md:col-span-4 md:text-left lg:col-span-5 lg:mt-inc50 [&_a]:text-green40 [&_a]:no-underline"><style data-emotion="css 4i53ku">.css-4i53ku{margin:0;color:#b8c4c2;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:18px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-4i53ku{font-size:18px;line-height:32px;}}@media screen and (min-width: 768px){.css-4i53ku{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-4i53ku{font-size:20px;line-height:32px;}}</style><span class="css-4i53ku"><div class="my-inc00" data-testid="hero-description-wrapper" style="-webkit-text-size-adjust:100%"><p>Build intelligent applications powered by semantic search and generative AI using native, full-featured vector database capabilities.</p></div></span></div><div data-testid="hero-cta-wrapper" class="col-span-6 col-start-1 mt-inc40 justify-start md:col-span-4 lg:col-span-6 lg:mt-inc50 [&>div>a]:box-border sm:[&>div]:items-center md:[&>div]:flex-col md:[&>div]:items-start lg:[&>div]:flex-row lg:[&>div]:items-center md:[&>div>span]:mb-inc40 lg:[&>div>span]:mb-inc00"><style data-emotion="css 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JP;font-size:16px;font-weight:500;border-radius:4px;line-height:16px;border:solid;border-width:1px;-webkit-text-decoration:none;text-decoration:none;display:inline-block;gap:8px;-webkit-transition:border-radius .15s;transition:border-radius .15s;color:#001E2B;stroke:#001E2B;fill:#001E2B;border-color:#00684A;background-color:#00ED64;white-space:nowrap;}@media screen and (min-width: 768px){.css-12evtde{width:unset;}}.css-12evtde:hover{cursor:pointer;-webkit-text-decoration:none;text-decoration:none;border-radius:40px;}.css-12evtde:active,.css-12evtde:focus{border-radius:999px;box-shadow:0px 0px 0px 3px rgba(244, 255, 220, .4);-webkit-transition:.1s;transition:.1s;}.css-12evtde:disabled,.css-12evtdedisabled:hover{background-color:#3d4f58;cursor:not-allowed;color:#b8c4c2;stroke:#b8c4c2;fill:#b8c4c2;box-shadow:0px 0px 0px 0px #000000;}</style><a tabindex="0" class="css-12evtde" href="https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start/?tck=ai_as_web" 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class="css-1h0y1sn"></div><style data-emotion="css 1fci34v">.css-1fci34v{box-sizing:border-box;margin:0;min-width:0;position:absolute;top:0;right:0;bottom:0;left:0;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;}</style><div class="css-1fci34v"><img fetchpriority="high" alt="Illustration of vectors" src="https://images.contentstack.io/v3/assets/blt7151619cb9560896/blt8f226c993594ca5b/672280cd8c3f9557c84ad795/Hero_-_5_4_(3).svg"/></div></div></div></div></div></section></div><div><div class="bg-blue80 lg:rounded-br-inc90 lg:rounded-bl-inc90"><style data-emotion="css 81xy2w">.css-81xy2w{padding-top:0;padding-bottom:64px;padding-right:24px;padding-left:24px;}@media screen and (min-width: 460px){.css-81xy2w{padding-top:0;padding-bottom:64px;padding-right:24px;padding-left:24px;}}@media 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(min-width: 460px){.css-1au3hnn img{border-radius:16px;}}@media screen and (min-width: 768px){.css-1au3hnn img{border-radius:32px;}}</style><div class="css-1au3hnn"><style data-emotion="css 9vd5ud">.css-9vd5ud{width:100%;}</style><img fetchpriority="auto" alt="Illustration of AI Industry" class="lazyload css-9vd5ud" data-src="https://images.contentstack.io/v3/assets/blt7151619cb9560896/blt557771e610c05b3a/672281e0fae3bb3a466be5d0/Slalom_-_3_2_(4).svg" data-sizes="auto"/></div></div><div data-testid="article" class="flex flex-col justify-center col-span-12 sm:col-start-1 lg:col-start-8 lg:col-span-5 md:col-start-5 md:col-span-4"><span data-testid="article-title" class="mb-inc40"><style data-emotion="css bqi6cz">.css-bqi6cz{margin:0;color:#ffffff;font-family:MongoDB Value Serif,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:40px;font-weight:400;line-height:48px;}@media screen and (min-width: 460px){.css-bqi6cz{font-size:40px;line-height:48px;}}@media screen and (min-width: 768px){.css-bqi6cz{font-size:40px;line-height:48px;}}@media screen and (min-width: 1024px){.css-bqi6cz{font-size:64px;line-height:72px;}}</style><h2 class="font-normal !font-mongodb-value-serif !text-inc70 lg:!text-headingL !leading-headingXLResponsive lg:!leading-headingL css-bqi6cz">What is vector search?</h2></span><style data-emotion="css 1ybiczl">.css-1ybiczl{margin:0;color:#b8c4c2;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:18px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-1ybiczl{font-size:18px;line-height:32px;}}@media screen and (min-width: 768px){.css-1ybiczl{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-1ybiczl{font-size:20px;line-height:32px;}}.css-1ybiczl ul{margin:0;}.css-1ybiczl a{color:#00ED64;-webkit-text-decoration:none;text-decoration:none;}.css-1ybiczl a:hover{border-bottom:2px solid #ffffff;}</style><span class="css-1ybiczl"><p>Generative AI uses vectors to enable intelligent semantic search over unstructured data (text, images, and audio). Vectors are critical in building recommendation engines, anomaly detection, and conversational AI. The wide range of use cases, made possible with native capabilities in MongoDB, deliver transformative user experiences.</p></span></div></div></div></div></div><div class="bg-black00 pt-inc90 pb-inc00 m-auto w-full flex flex-col items-center [&>*]:max-w-maxWidthDesktop px-inc40 md:px-inc50 lg:px-inc70" id=""><div class="m-inc00 mb-inc90 box-border text-center font-heading text-headingXLResponsive font-normal leading-headingXLResponsive subpixel-antialiased lg:mb-inc130 lg:text-headingXL lg:leading-headingXL"><h2 class="m-inc00 box-border text-center font-heading text-headingXLResponsive font-normal leading-headingXLResponsive subpixel-antialiased lg:text-headingXL lg:leading-headingXL text-blue80 mt-inc30 lg:mt-inc40">The combined power of vectors and MongoDB</h2></div><div><div class="grid grid-cols-12" aria-label="Accordion Control Group"></div></div></div><div><div class="transparent"><style data-emotion="css x5d3y3">.css-x5d3y3{padding-top:16px;padding-bottom:64px;padding-right:24px;padding-left:24px;}@media screen and (min-width: 460px){.css-x5d3y3{padding-top:16px;padding-bottom:64px;padding-right:24px;padding-left:24px;}}@media screen and (min-width: 768px){.css-x5d3y3{padding-top:16px;padding-bottom:112px;padding-right:32px;padding-left:32px;}}@media screen and (min-width: 1024px){.css-x5d3y3{padding-top:16px;padding-bottom:112px;padding-right:48px;padding-left:48px;}}@media screen and (min-width: 1280px){.css-x5d3y3{padding-top:16px;padding-bottom:112px;}}</style><div class="css-x5d3y3"><div class="flex flex-col-reverse m-auto max-w-maxWidthDesktop auto-cols-fr gap-inc40 md:grid md:grid-cols-8 lg:grid-cols-12"><div data-testid="article" class="flex flex-col justify-center col-span-12 sm:col-start-1 lg:col-start-2 lg:col-span-4 md:col-start-1 md:col-span-4"><span data-testid="article-title" class="mb-inc40"><style data-emotion="css 1fcxkyv">.css-1fcxkyv{margin:0;color:#001E2B;font-family:MongoDB Value Serif,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:32px;font-weight:400;line-height:40px;}@media screen and (min-width: 460px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 768px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 1024px){.css-1fcxkyv{font-size:56px;line-height:64px;}}</style><h3 class="font-medium !text-inc50 !leading-bodyLResponsive lg:!text-headingS lg:!leading-headingXLResponsive !font-body css-1fcxkyv">Unparalleled simplicity</h3></span><style data-emotion="css gle6wn">.css-gle6wn{margin:0;color:#5d6c74;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:18px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 768px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-gle6wn{font-size:20px;line-height:32px;}}.css-gle6wn ul{margin:0;}.css-gle6wn a{color:#006CFA;-webkit-text-decoration:none;text-decoration:none;}.css-gle6wn a:hover{border-bottom:2px solid #061621;}</style><span class="css-gle6wn"><p>Avoid the synchronization tax. With Atlas Vector Search built into the core database, there’s no need to sync data between your operational and vector databases—saving time, reducing complexity, and preventing errors. Your operational and vector data stay in one place.</p></span><div class="flex flex-col-reverse font-medium mt-inc50" data-testid="cta-element"><span data-testid="cta-link"><style data-emotion="css orp1up">.css-orp1up{font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-weight:500;cursor:pointer;-webkit-text-decoration:none;text-decoration:none;display:inline-block;font-size:16px;line-height:32px;color:#006CFA;}.css-orp1up:hover{-webkit-text-decoration:none;text-decoration:none;}</style><a tabindex="0" href="https://www.mongodb.com/library/vector-search/atlas-vector-search-explained-three-minutes?lb-mode=overlay" target="_self" class="css-orp1up" data-track="true"><style data-emotion="css 1kjyyeh">.css-1kjyyeh{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;text-align:left;}.css-1kjyyeh .textlink-default-text-class{color:#006CFA;line-height:32px;border-bottom:2px solid transparent;}.css-1kjyyeh .textlink-default-text-class:hover{border-bottom:2px solid #061621;}.css-1kjyyeh .textlink-arrow-class{color:#001E2B;line-height:32px;}.css-1kjyyeh .textlink-link-icon-class{color:#001E2B;line-height:32px;}</style><span class="css-1kjyyeh"><style data-emotion="css 1pghxfk">.css-1pghxfk{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;width:100%;}.css-1pghxfk:hover{color:#001E2B;}.css-1pghxfk:hover span{color:#00684A;}</style><span class="css-1pghxfk"><style data-emotion="css 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zzrgxg">.css-zzrgxg{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;height:2px;position:relative;background:#00684A;width:100%;-webkit-transition:width 300ms ease;transition:width 300ms ease;}</style><span data-testid="arrow-body" class="css-zzrgxg"><style data-emotion="css sqbkw3">.css-sqbkw3{border:2px solid;border-color:#00684A;border-radius:2px;width:12px;position:absolute;border-top:none;border-left:none;height:12px;-webkit-transform:rotate(-45deg);-moz-transform:rotate(-45deg);-ms-transform:rotate(-45deg);transform:rotate(-45deg);right:0;top:-5px;}</style><span data-testid="arrow-head" class="css-sqbkw3"></span></span></span></div></span></span></a></span></div></div><div class="flex items-center [&>*]:w-full col-span-12 sm:col-start-1 lg:col-start-7 lg:col-span-5 md:col-start-5 md:col-span-4" data-testid="side-element"><style data-emotion="css 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1au3hnn">.css-1au3hnn{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;}.css-1au3hnn img{border-radius:16px;cursor:inherit;}@media screen and (min-width: 460px){.css-1au3hnn img{border-radius:16px;}}@media screen and (min-width: 768px){.css-1au3hnn img{border-radius:32px;}}</style><div class="css-1au3hnn"><style data-emotion="css 9vd5ud">.css-9vd5ud{width:100%;}</style><img fetchpriority="auto" alt="Illustration with an example of how this feature works." class="lazyload css-9vd5ud" data-src="https://images.contentstack.io/v3/assets/blt7151619cb9560896/blte24af83155acb81a/672282efdba3ee76319bef64/VectorSearch_ValueProp-02_BrandShape.svg" data-sizes="auto"/></div></div><div data-testid="article" class="flex flex-col justify-center col-span-12 sm:col-start-1 lg:col-start-8 lg:col-span-4 md:col-start-5 md:col-span-4"><span data-testid="article-title" class="mb-inc40"><style data-emotion="css 1fcxkyv">.css-1fcxkyv{margin:0;color:#001E2B;font-family:MongoDB Value Serif,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:32px;font-weight:400;line-height:40px;}@media screen and (min-width: 460px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 768px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 1024px){.css-1fcxkyv{font-size:56px;line-height:64px;}}</style><h3 class="font-medium !text-inc50 !leading-bodyLResponsive lg:!text-headingS lg:!leading-headingXLResponsive !font-body css-1fcxkyv">Powerful query capabilities</h3></span><style data-emotion="css gle6wn">.css-gle6wn{margin:0;color:#5d6c74;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:18px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 768px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-gle6wn{font-size:20px;line-height:32px;}}.css-gle6wn ul{margin:0;}.css-gle6wn a{color:#006CFA;-webkit-text-decoration:none;text-decoration:none;}.css-gle6wn a:hover{border-bottom:2px solid #061621;}</style><span class="css-gle6wn"><p>Easily combine vector queries with filters on meta-data, graph lookups, aggregation pipelines, geo-spatial search, and lexical search for powerful hybrid search use cases within a single database.</p></span><div class="flex flex-col-reverse font-medium mt-inc50" data-testid="cta-element"><span data-testid="cta-link"><style data-emotion="css orp1up">.css-orp1up{font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans 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data-testid="arrow-head" class="css-sqbkw3"></span></span></span></div></span></span></a></span></div></div></div></div></div></div><div><div class="transparent"><style data-emotion="css 81xy2w">.css-81xy2w{padding-top:0;padding-bottom:64px;padding-right:24px;padding-left:24px;}@media screen and (min-width: 460px){.css-81xy2w{padding-top:0;padding-bottom:64px;padding-right:24px;padding-left:24px;}}@media screen and (min-width: 768px){.css-81xy2w{padding-top:0;padding-bottom:112px;padding-right:32px;padding-left:32px;}}@media screen and (min-width: 1024px){.css-81xy2w{padding-top:0;padding-bottom:112px;padding-right:48px;padding-left:48px;}}@media screen and (min-width: 1280px){.css-81xy2w{padding-top:0;padding-bottom:112px;}}</style><div class="css-81xy2w"><div class="flex flex-col-reverse m-auto max-w-maxWidthDesktop auto-cols-fr gap-inc40 md:grid md:grid-cols-8 lg:grid-cols-12"><div data-testid="article" class="flex flex-col justify-center col-span-12 sm:col-start-1 lg:col-start-2 lg:col-span-4 md:col-start-1 md:col-span-4"><span data-testid="article-title" class="mb-inc40"><style data-emotion="css 1fcxkyv">.css-1fcxkyv{margin:0;color:#001E2B;font-family:MongoDB Value Serif,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:32px;font-weight:400;line-height:40px;}@media screen and (min-width: 460px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 768px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 1024px){.css-1fcxkyv{font-size:56px;line-height:64px;}}</style><h3 class="font-medium !text-inc50 !leading-bodyLResponsive lg:!text-headingS lg:!leading-headingXLResponsive !font-body css-1fcxkyv">Superior scaling for vector search apps</h3></span><style data-emotion="css gle6wn">.css-gle6wn{margin:0;color:#5d6c74;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:18px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 768px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-gle6wn{font-size:20px;line-height:32px;}}.css-gle6wn ul{margin:0;}.css-gle6wn a{color:#006CFA;-webkit-text-decoration:none;text-decoration:none;}.css-gle6wn a:hover{border-bottom:2px solid #061621;}</style><span class="css-gle6wn"><p>Unlike other solutions, MongoDB’s distributed architecture scales vector search independently from the core database. This enables true workload isolation and optimization for vector queries, resulting in superior performance at scale.</p></span><div class="flex flex-col-reverse font-medium mt-inc50" data-testid="cta-element"><span data-testid="cta-link"><style data-emotion="css orp1up">.css-orp1up{font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-weight:500;cursor:pointer;-webkit-text-decoration:none;text-decoration:none;display:inline-block;font-size:16px;line-height:32px;color:#006CFA;}.css-orp1up:hover{-webkit-text-decoration:none;text-decoration:none;}</style><a tabindex="0" href="https://www.mongodb.com/blog/post/search-nodes-now-public-preview-performance-scale-dedicated-infrastructure" target="_self" class="css-orp1up" data-track="true"><style data-emotion="css 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17tmg2e">.css-17tmg2e{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;font-size:16px;line-height:32px;color:#006CFA;}.css-17tmg2e:hover{color:#00684A;-webkit-text-decoration:none;text-decoration:none;}</style><span class="textlink-link-icon-class css-17tmg2e">Learn about Search Nodes</span><style data-emotion="css 1mddta2">.css-1mddta2{min-width:48px;margin-left:16px;}</style><div data-testid="link-icon-container" class="css-1mddta2"><style data-emotion="css 1mwl2k3">.css-1mwl2k3{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;height:100%;min-height:16px;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;width:32px;-webkit-transition:width 300ms ease;transition:width 300ms ease;}</style><span data-testid="arrow-container" class="css-1mwl2k3"><style data-emotion="css 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1au3hnn">.css-1au3hnn{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;}.css-1au3hnn img{border-radius:16px;cursor:inherit;}@media screen and (min-width: 460px){.css-1au3hnn img{border-radius:16px;}}@media screen and (min-width: 768px){.css-1au3hnn img{border-radius:32px;}}</style><div class="css-1au3hnn"><style data-emotion="css 9vd5ud">.css-9vd5ud{width:100%;}</style><img fetchpriority="auto" alt="" class="lazyload css-9vd5ud" data-src="https://images.contentstack.io/v3/assets/blt7151619cb9560896/blt1b7d502b32f7dfaa/672282ef20c1640c0758fa0f/VectorSearch_ValueProp-04_BrandShape.svg" data-sizes="auto"/></div></div><div data-testid="article" class="flex flex-col justify-center col-span-12 sm:col-start-1 lg:col-start-8 lg:col-span-4 md:col-start-5 md:col-span-4"><span data-testid="article-title" class="mb-inc40"><style data-emotion="css 1fcxkyv">.css-1fcxkyv{margin:0;color:#001E2B;font-family:MongoDB Value Serif,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:32px;font-weight:400;line-height:40px;}@media screen and (min-width: 460px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 768px){.css-1fcxkyv{font-size:32px;line-height:40px;}}@media screen and (min-width: 1024px){.css-1fcxkyv{font-size:56px;line-height:64px;}}</style><h3 class="font-medium !text-inc50 !leading-bodyLResponsive lg:!text-headingS lg:!leading-headingXLResponsive !font-body css-1fcxkyv">Enterprise-ready vector database</h3></span><style data-emotion="css gle6wn">.css-gle6wn{margin:0;color:#5d6c74;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:18px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 768px){.css-gle6wn{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-gle6wn{font-size:20px;line-height:32px;}}.css-gle6wn ul{margin:0;}.css-gle6wn a{color:#006CFA;-webkit-text-decoration:none;text-decoration:none;}.css-gle6wn a:hover{border-bottom:2px solid #061621;}</style><span class="css-gle6wn"><p>Security and high availability are built in. Because vector data is stored directly in Atlas with your operational data, you can rest assured your workloads are running with the same trusted enterprise-grade security and availability MongoDB is known for.</p></span><div class="flex flex-col-reverse font-medium mt-inc50" data-testid="cta-element"><span data-testid="cta-link"><style data-emotion="css orp1up">.css-orp1up{font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-weight:500;cursor:pointer;-webkit-text-decoration:none;text-decoration:none;display:inline-block;font-size:16px;line-height:32px;color:#006CFA;}.css-orp1up:hover{-webkit-text-decoration:none;text-decoration:none;}</style><a tabindex="0" href="https://www.mongodb.com/atlas" target="_self" class="css-orp1up" data-track="true"><style data-emotion="css 1kjyyeh">.css-1kjyyeh{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;text-align:left;}.css-1kjyyeh .textlink-default-text-class{color:#006CFA;line-height:32px;border-bottom:2px solid transparent;}.css-1kjyyeh .textlink-default-text-class:hover{border-bottom:2px solid #061621;}.css-1kjyyeh .textlink-arrow-class{color:#001E2B;line-height:32px;}.css-1kjyyeh .textlink-link-icon-class{color:#001E2B;line-height:32px;}</style><span class="css-1kjyyeh"><style data-emotion="css 1pghxfk">.css-1pghxfk{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;width:100%;}.css-1pghxfk:hover{color:#001E2B;}.css-1pghxfk:hover span{color:#00684A;}</style><span class="css-1pghxfk"><style data-emotion="css 17tmg2e">.css-17tmg2e{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;font-size:16px;line-height:32px;color:#006CFA;}.css-17tmg2e:hover{color:#00684A;-webkit-text-decoration:none;text-decoration:none;}</style><span class="textlink-link-icon-class css-17tmg2e">See Atlas capabilities</span><style data-emotion="css 1mddta2">.css-1mddta2{min-width:48px;margin-left:16px;}</style><div data-testid="link-icon-container" class="css-1mddta2"><style data-emotion="css 1mwl2k3">.css-1mwl2k3{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;height:100%;min-height:16px;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;width:32px;-webkit-transition:width 300ms ease;transition:width 300ms ease;}</style><span data-testid="arrow-container" class="css-1mwl2k3"><style data-emotion="css 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6zwi0w">.css-6zwi0w{box-sizing:border-box;margin:0;min-width:0;display:grid;grid-gap:24px;grid-template-columns:repeat(6, 1fr);max-width:1416px;margin:auto;}@media screen and (min-width: 768px){.css-6zwi0w{grid-template-columns:repeat(8, 1fr);}}@media screen and (min-width: 1024px){.css-6zwi0w{grid-template-columns:repeat(12, 1fr);}}</style><div class="css-6zwi0w"><hr class="col-[1_/_span_12] w-full border-t-[1px] border-solid border-black30"/></div></div><div class=""><div class="px-outsideGutterSmall md:px-outsideGutterMedium lg:px-outsideGutterLarge duration-inc30 ease-out [transition-property:background-color,color,fill,stroke] pt-inc150 pb-inc90"><style data-emotion="css 1j4rh8i">.css-1j4rh8i{max-width:1416px;margin:auto;}</style><style data-emotion="css 6zwi0w">.css-6zwi0w{box-sizing:border-box;margin:0;min-width:0;display:grid;grid-gap:24px;grid-template-columns:repeat(6, 1fr);max-width:1416px;margin:auto;}@media screen and (min-width: 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role="tabpanel" aria-labelledby="radix-:R19q6:-trigger-0" id="radix-:R19q6:-content-0" tabindex="0" style="animation-duration:0s"><div class="w-full group-data-[visible="true"]:animate-fade-in-left md:max-w-[216px]"><div class="flex flex-col items-center gap-inc70 self-start md:min-w-[150px] md:max-w-[172px] md:gap-inc90 lg:self-center"><div class="hidden w-full md:block"><img src="https://images.contentstack.io/v3/assets/blt7151619cb9560896/bltd76a51b3363d01fd/67228498f66b7213419bac68/company-novo-nordisk.png" class="!flex max-h-inc90 max-w-[100%] justify-center md:max-h-none" alt="Novo Nordisk"/></div><div class="flex w-full flex-row gap-inc50 md:flex-col md:gap-inc50"><style data-emotion="css 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1024px){.css-59f1gn{font-size:40px;line-height:64px;}}</style><span class="css-59f1gn">10 minutes</span><style data-emotion="css aone06">.css-aone06{font-size:12px;line-height:16px;-webkit-text-decoration:none;text-decoration:none;color:#001E2B;font-family:Source Code Pro;}@media screen and (min-width: 768px){.css-aone06{font-size:14px;}}@media screen and (min-width: 1024px){.css-aone06{font-size:16px;line-height:24px;}}</style><span class="css-aone06">Clinical report creation time</span></div></div></div></div><div class="my-inc50 mr-inc20 hidden lg:block"><svg xmlns="http://www.w3.org/2000/svg" width="111" height="392" viewBox="0 0 111 392" fill="none"><path d="M110.976 391.68V357H91.392C72.216 357 67.32 349.248 67.32 329.664V239.904C67.32 215.016 59.568 202.368 43.656 195.84C59.568 189.72 67.32 177.48 67.32 152.592V62.016C67.32 42.84 72.216 34.68 91.392 34.68H110.976V0H82.008C44.472 0 28.152 21.216 28.152 58.344V152.592C28.152 168.504 23.664 178.704 5.304 178.704H0V213.384H5.304C23.664 213.384 28.152 223.584 28.152 239.904V333.336C28.152 370.464 44.472 391.68 82.008 391.68H110.976Z" fill="#F5F7FA"></path></svg></div><div class="flex max-w-[784px] grow flex-col content-evenly justify-evenly gap-section20 group-data-[visible="true"]:animate-fade-in-right"><div class="flex flex-col gap-section20"><style data-emotion="css 8awcyh">.css-8awcyh{margin:0;color:#001E2B;font-family:MongoDB Value Serif,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:24px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-8awcyh{font-size:24px;line-height:32px;}}@media screen and (min-width: 768px){.css-8awcyh{font-size:28px;line-height:48px;}}</style><div class="font-normal css-8awcyh">“Only MongoDB Atlas gives us the flexibility and scale at the data platform layer to experiment in how to harness one of the biggest technical advancements the industry has ever seen.”</div><div><style data-emotion="css 1untns5">.css-1untns5{margin:0;color:#001E2B;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:16px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-1untns5{font-size:16px;line-height:32px;}}@media screen and (min-width: 768px){.css-1untns5{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-1untns5{line-height:32px;}}</style><span class="css-1untns5">Louise Lind Skov</span><br/><style data-emotion="css w82ni0">.css-w82ni0{margin:0;color:#014E3D;font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-size:16px;font-weight:400;line-height:32px;}@media screen and (min-width: 460px){.css-w82ni0{font-size:16px;line-height:32px;}}@media screen and (min-width: 768px){.css-w82ni0{font-size:18px;line-height:32px;}}@media screen and (min-width: 1024px){.css-w82ni0{line-height:32px;}}</style><span class="css-w82ni0">Head of Content Digitalisation, Novo Nordisk</span></div></div><style 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pb-inc90"><style data-emotion="css 1j4rh8i">.css-1j4rh8i{max-width:1416px;margin:auto;}</style><style data-emotion="css 6zwi0w">.css-6zwi0w{box-sizing:border-box;margin:0;min-width:0;display:grid;grid-gap:24px;grid-template-columns:repeat(6, 1fr);max-width:1416px;margin:auto;}@media screen and (min-width: 768px){.css-6zwi0w{grid-template-columns:repeat(8, 1fr);}}@media screen and (min-width: 1024px){.css-6zwi0w{grid-template-columns:repeat(12, 1fr);}}</style><div class="css-6zwi0w"><div class="col-[1_/_span_12] flex flex-col items-start justify-start gap-inc40 md:flex-row md:justify-between md:gap-inc00"><div class="flex grow flex-col gap-inc20 md:max-w-[340px] md:gap-[10px] lg:max-w-[576px] lg:gap-inc20"><style data-emotion="css 9datbm">.css-9datbm{margin:0;font-family:Euclid Circular A;font-size:24px;font-weight:500;line-height:32px;text-align:left;}@media screen and (min-width: 1024px){.css-9datbm{font-size:36px;line-height:48px;}}</style><h2 class="css-9datbm">Vector search use 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1024px){.css-6zwi0w{grid-template-columns:repeat(12, 1fr);}}</style><div class="css-6zwi0w"><div class="col-[1_/_span_12] flex flex-col items-start justify-start gap-inc40 md:flex-row md:justify-between md:gap-inc00"><div class="flex grow flex-col gap-inc20 md:max-w-[340px] md:gap-[10px] lg:max-w-[576px] lg:gap-inc20"><style data-emotion="css xst93j">.css-xst93j{margin:0;color:#ffffff;font-family:Euclid Circular A;font-size:24px;font-weight:500;line-height:32px;text-align:left;}@media screen and (min-width: 1024px){.css-xst93j{font-size:36px;line-height:48px;}}</style><h2 class="css-xst93j">Learning hub</h2></div></div></div></div></div><div class="bg-black00 pt-inc90 pb-inc150 m-auto w-full flex flex-col items-center [&>*]:max-w-maxWidthDesktop px-inc40 md:px-inc50 lg:px-inc70" id=""><div class="m-inc00 mb-inc90 box-border text-center font-heading text-headingXLResponsive font-normal leading-headingXLResponsive subpixel-antialiased lg:mb-inc130 lg:text-headingXL lg:leading-headingXL"><h2 class="m-inc00 box-border text-center font-heading text-headingXLResponsive font-normal leading-headingXLResponsive subpixel-antialiased lg:text-headingXL lg:leading-headingXL text-blue80 mt-inc30 lg:mt-inc40">FAQ</h2></div><div><div class="grid grid-cols-12" aria-label="Accordion Control Group"><div role="button" tabindex="0" aria-label="accordion-tab" aria-controls="content-0" aria-expanded="false" class="border-black30 col-span-full border-x-inc00 border-b-[1px] border-t-inc00 border-solid py-inc50 first:border-t-[1px]"><div aria-label="accordion-tab-head" class="flex cursor-pointer select-none items-center" role="button" tabindex="-1"><h3 class="text-blue80 m-inc00 mr-inc30 flex-1 font-euclid-circular-a text-inc30 font-medium leading-headingXSResponsive lg:text-inc50 lg:leading-headingXS">What are vectors or vector embeddings?</h3><img src="https://webimages.mongodb.com/_com_assets/cms/kx0wvn02iwn4zu68z-plus.svg?auto=format%252Ccompress" class="size-[24px] lg:size-[32px]" alt="Plus Button"/></div><div aria-label="accordion-tab-body" class="mt-inc00 h-full overflow-hidden pr-inc40" style="max-height:0px;transition:max-height .2s ease-in-out"><div class="mr-inc20"><span class="m-inc00 font-euclid-circular-a font-normal leading-inc30 lg:text-inc30 text-black50 [&_a]:font-medium [&_a]:no-underline [&_a]:text-blue60 [&_a]:border-black80 [&_a]:border-x-inc00 [&_a]:border-b-[0] [&_a]:border-t-inc00 [&_a]:border-solid [&_a]:transition-all hover:[&_a]:border-b-[2px]"><p>A vector is a numeric representation of data and associated context that can be efficiently searched for using advanced algorithms.</p><div class="mt-inc40 [&>div]:flex-row"><style data-emotion="css 1fel3o7">.css-1fel3o7{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}@media screen and 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solid;border-color:#00684A;border-radius:2px;width:12px;height:12px;top:-6px;-webkit-transition:width 300ms ease,height 300ms ease,top 300ms ease;transition:width 300ms ease,height 300ms ease,top 300ms ease;position:absolute;border-top:none;border-left:none;-webkit-transform:rotate(-45deg);-moz-transform:rotate(-45deg);-ms-transform:rotate(-45deg);transform:rotate(-45deg);right:0;}</style><span data-testid="chevron-head" class="css-awipqv"></span></span></span></div></span></span></a></div></div></span></div></div></div><div role="button" tabindex="0" aria-label="accordion-tab" aria-controls="content-1" aria-expanded="false" class="border-black30 col-span-full border-x-inc00 border-b-[1px] border-t-inc00 border-solid py-inc50 first:border-t-[1px]"><div aria-label="accordion-tab-head" class="flex cursor-pointer select-none items-center" role="button" tabindex="-1"><h3 class="text-blue80 m-inc00 mr-inc30 flex-1 font-euclid-circular-a text-inc30 font-medium leading-headingXSResponsive lg:text-inc50 lg:leading-headingXS">How does Atlas Vector Search differ from Atlas Search?</h3><img src="https://webimages.mongodb.com/_com_assets/cms/kx0wvn02iwn4zu68z-plus.svg?auto=format%252Ccompress" class="size-[24px] lg:size-[32px]" alt="Plus Button"/></div><div aria-label="accordion-tab-body" class="mt-inc00 h-full overflow-hidden pr-inc40" style="max-height:0px;transition:max-height .2s ease-in-out"><div class="mr-inc20"><span class="m-inc00 font-euclid-circular-a font-normal leading-inc30 lg:text-inc30 text-black50 [&_a]:font-medium [&_a]:no-underline [&_a]:text-blue60 [&_a]:border-black80 [&_a]:border-x-inc00 [&_a]:border-b-[0] [&_a]:border-t-inc00 [&_a]:border-solid [&_a]:transition-all hover:[&_a]:border-b-[2px]"><p>Atlas Vector Search allows searching through data based on semantic meaning captured in vectors, whereas <a href="/atlas/search" target="_self">Atlas Search</a> allows for keyword search (i.e., based on the actual text and any defined synonym mappings).</p></span></div></div></div><div role="button" tabindex="0" aria-label="accordion-tab" aria-controls="content-2" aria-expanded="false" class="border-black30 col-span-full border-x-inc00 border-b-[1px] border-t-inc00 border-solid py-inc50 first:border-t-[1px]"><div aria-label="accordion-tab-head" class="flex cursor-pointer select-none items-center" role="button" tabindex="-1"><h3 class="text-blue80 m-inc00 mr-inc30 flex-1 font-euclid-circular-a text-inc30 font-medium leading-headingXSResponsive lg:text-inc50 lg:leading-headingXS">Can I use MongoDB Atlas instead of a standalone vector database?</h3><img src="https://webimages.mongodb.com/_com_assets/cms/kx0wvn02iwn4zu68z-plus.svg?auto=format%252Ccompress" class="size-[24px] lg:size-[32px]" alt="Plus Button"/></div><div aria-label="accordion-tab-body" class="mt-inc00 h-full overflow-hidden pr-inc40" style="max-height:0px;transition:max-height .2s ease-in-out"><div class="mr-inc20"><span class="m-inc00 font-euclid-circular-a font-normal leading-inc30 lg:text-inc30 text-black50 [&_a]:font-medium [&_a]:no-underline [&_a]:text-blue60 [&_a]:border-black80 [&_a]:border-x-inc00 [&_a]:border-b-[0] [&_a]:border-t-inc00 [&_a]:border-solid [&_a]:transition-all hover:[&_a]:border-b-[2px]"><p>Yes, MongoDB Atlas is a vector database. Atlas is a fully managed, multi-cloud developer data platform with a rich array of capabilities that includes text or lexical and vector search. Rather than use a standalone or bolt-on vector database, the versatility of our platform empowers users to store their operational data, metadata, and vector embeddings on Atlas and seamlessly use Atlas Vector Search for indexing, retrieval, and building performant generative AI applications.</p></span></div></div></div><div role="button" tabindex="0" aria-label="accordion-tab" aria-controls="content-3" aria-expanded="false" class="border-black30 col-span-full border-x-inc00 border-b-[1px] border-t-inc00 border-solid py-inc50 first:border-t-[1px]"><div aria-label="accordion-tab-head" class="flex cursor-pointer select-none items-center" role="button" tabindex="-1"><h3 class="text-blue80 m-inc00 mr-inc30 flex-1 font-euclid-circular-a text-inc30 font-medium leading-headingXSResponsive lg:text-inc50 lg:leading-headingXS">What's the difference between K-Nearest Neighbor (KNN) Search, Approximate Nearest Neighbor (ANN) Search, and Exact Nearest Neighbor (ENN) Search? When to use what?</h3><img src="https://webimages.mongodb.com/_com_assets/cms/kx0wvn02iwn4zu68z-plus.svg?auto=format%252Ccompress" class="size-[24px] lg:size-[32px]" alt="Plus Button"/></div><div aria-label="accordion-tab-body" class="mt-inc00 h-full overflow-hidden pr-inc40" style="max-height:0px;transition:max-height .2s ease-in-out"><div class="mr-inc20"><span class="m-inc00 font-euclid-circular-a font-normal leading-inc30 lg:text-inc30 text-black50 [&_a]:font-medium [&_a]:no-underline [&_a]:text-blue60 [&_a]:border-black80 [&_a]:border-x-inc00 [&_a]:border-b-[0] [&_a]:border-t-inc00 [&_a]:border-solid [&_a]:transition-all hover:[&_a]:border-b-[2px]"><p>KNN stands for "K-Nearest Neighbors," which is the algorithm frequently used to find vectors near one another. </p><p></p><p>ANN stands for "Approximate Nearest Neighbors" and it is an approach to finding similar vectors that trades accuracy in favor of performance. This is one of the core algorithms used to power Atlas Vector Search. Our algorithm for Approximate Nearest Neighbor search uses the <a href="https://arxiv.org/abs/1603.09320" target="_blank">Hierarchical Navigable Small World (HNSW)</a> graph for efficient indexing and querying of millions of vectors.</p><p></p><p>ENN stands for “Exact Nearest Neighbors” and it is an approach to finding similar vectors that might trade some performance in favor of accuracy. This method returns the exact closest vectors to a query vector, with the number of vectors specified by the variable limit. Exact vector search (ENN) query execution can maintain sub-second latency for unfiltered queries up to 10,000 documents. It can also provide low-latency responses for highly selective filters that restrict a broad set of documents into 10,000 documents or less, ordered by vector relevance.</p><div class="mt-inc40 [&>div]:flex-row"><style data-emotion="css 1fel3o7">.css-1fel3o7{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}@media screen and (min-width: 768px){.css-1fel3o7{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;}}</style><div class="[&_a]:border-none css-1fel3o7"><style data-emotion="css orp1up">.css-orp1up{font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans 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ease;position:absolute;border-top:none;border-left:none;-webkit-transform:rotate(-45deg);-moz-transform:rotate(-45deg);-ms-transform:rotate(-45deg);transform:rotate(-45deg);right:0;}</style><span data-testid="chevron-head" class="css-awipqv"></span></span></span></div></span></span></a></div></div></span></div></div></div><div role="button" tabindex="0" aria-label="accordion-tab" aria-controls="content-4" aria-expanded="false" class="border-black30 col-span-full border-x-inc00 border-b-[1px] border-t-inc00 border-solid py-inc50 first:border-t-[1px]"><div aria-label="accordion-tab-head" class="flex cursor-pointer select-none items-center" role="button" tabindex="-1"><h3 class="text-blue80 m-inc00 mr-inc30 flex-1 font-euclid-circular-a text-inc30 font-medium leading-headingXSResponsive lg:text-inc50 lg:leading-headingXS">What is $vectorSearch and how does it differ from the knnBeta operator in $search?</h3><img src="https://webimages.mongodb.com/_com_assets/cms/kx0wvn02iwn4zu68z-plus.svg?auto=format%252Ccompress" class="size-[24px] lg:size-[32px]" alt="Plus Button"/></div><div aria-label="accordion-tab-body" class="mt-inc00 h-full overflow-hidden pr-inc40" style="max-height:0px;transition:max-height .2s ease-in-out"><div class="mr-inc20"><span class="m-inc00 font-euclid-circular-a font-normal leading-inc30 lg:text-inc30 text-black50 [&_a]:font-medium [&_a]:no-underline [&_a]:text-blue60 [&_a]:border-black80 [&_a]:border-x-inc00 [&_a]:border-b-[0] [&_a]:border-t-inc00 [&_a]:border-solid [&_a]:transition-all hover:[&_a]:border-b-[2px]"><p>$vectorSearch is an aggregation stage in MongoDB Atlas that lets you execute an Approximate Nearest Neighbor (ANN) or Exact Nearest Neighbor (ENN) query with MongoDB Query API filtering (e.g., “$eq” or “$gte”). This stage is supported on Atlas clusters version 6.0 and higher. The Atlas Search knnVector field type and knnBeta operator in $search are now deprecated.</p><div class="mt-inc40 [&>div]:flex-row"><style data-emotion="css 1fel3o7">.css-1fel3o7{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}@media screen and (min-width: 768px){.css-1fel3o7{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;}}</style><div class="[&_a]:border-none css-1fel3o7"><style data-emotion="css orp1up">.css-orp1up{font-family:Euclid Circular A,Noto Sans KR,Noto Sans SC,Noto Sans JP;font-weight:500;cursor:pointer;-webkit-text-decoration:none;text-decoration:none;display:inline-block;font-size:16px;line-height:32px;color:#006CFA;}.css-orp1up:hover{-webkit-text-decoration:none;text-decoration:none;}</style><a tabindex="0" href="https://www.mongodb.com/docs/atlas/atlas-search/vector-search/" target="_self" class="css-orp1up" data-track="true"><style data-emotion="css 1kjyyeh">.css-1kjyyeh{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;text-align:left;}.css-1kjyyeh .textlink-default-text-class{color:#006CFA;line-height:32px;border-bottom:2px solid transparent;}.css-1kjyyeh .textlink-default-text-class:hover{border-bottom:2px solid #061621;}.css-1kjyyeh .textlink-arrow-class{color:#001E2B;line-height:32px;}.css-1kjyyeh .textlink-link-icon-class{color:#001E2B;line-height:32px;}</style><span class="css-1kjyyeh"><style data-emotion="css 1pghxfk">.css-1pghxfk{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;width:100%;}.css-1pghxfk:hover{color:#001E2B;}.css-1pghxfk:hover span{color:#00684A;}</style><span class="css-1pghxfk"><style data-emotion="css 17tmg2e">.css-17tmg2e{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;font-size:16px;line-height:32px;color:#006CFA;}.css-17tmg2e:hover{color:#00684A;-webkit-text-decoration:none;text-decoration:none;}</style><span class="textlink-link-icon-class css-17tmg2e">Learn more</span><style data-emotion="css 1n51jt3">.css-1n51jt3{min-width:40px;margin-left:16px;}</style><div data-testid="link-icon-container" class="css-1n51jt3"><style data-emotion="css kv39m8">.css-kv39m8{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;height:100%;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;width:9px;-webkit-transition:width 300ms ease;transition:width 300ms ease;}</style><span data-testid="chevron-container" class="css-kv39m8"><style data-emotion="css 1qe0he">.css-1qe0he{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;height:2px;position:relative;background:transparent;margin-top:16px;margin-bottom:16px;width:100%;-webkit-transition:width 300ms ease,background 300ms ease;transition:width 300ms ease,background 300ms ease;}</style><span data-testid="chevron-body" class="css-1qe0he"><style data-emotion="css awipqv">.css-awipqv{border:2px solid;border-color:#00684A;border-radius:2px;width:12px;height:12px;top:-6px;-webkit-transition:width 300ms ease,height 300ms ease,top 300ms ease;transition:width 300ms ease,height 300ms ease,top 300ms ease;position:absolute;border-top:none;border-left:none;-webkit-transform:rotate(-45deg);-moz-transform:rotate(-45deg);-ms-transform:rotate(-45deg);transform:rotate(-45deg);right:0;}</style><span data-testid="chevron-head" class="css-awipqv"></span></span></span></div></span></span></a></div></div></span></div></div></div><div role="button" tabindex="0" aria-label="accordion-tab" aria-controls="content-5" aria-expanded="false" class="border-black30 col-span-full border-x-inc00 border-b-[1px] border-t-inc00 border-solid py-inc50 first:border-t-[1px]"><div aria-label="accordion-tab-head" class="flex cursor-pointer select-none items-center" role="button" tabindex="-1"><h3 class="text-blue80 m-inc00 mr-inc30 flex-1 font-euclid-circular-a text-inc30 font-medium leading-headingXSResponsive lg:text-inc50 lg:leading-headingXS">Which vector embeddings does Atlas Vector Search support? Is there support for vector quantization?</h3><img src="https://webimages.mongodb.com/_com_assets/cms/kx0wvn02iwn4zu68z-plus.svg?auto=format%252Ccompress" class="size-[24px] lg:size-[32px]" alt="Plus Button"/></div><div aria-label="accordion-tab-body" class="mt-inc00 h-full overflow-hidden pr-inc40" style="max-height:0px;transition:max-height .2s ease-in-out"><div class="mr-inc20"><span class="m-inc00 font-euclid-circular-a font-normal leading-inc30 lg:text-inc30 text-black50 [&_a]:font-medium [&_a]:no-underline [&_a]:text-blue60 [&_a]:border-black80 [&_a]:border-x-inc00 [&_a]:border-b-[0] [&_a]:border-t-inc00 [&_a]:border-solid [&_a]:transition-all hover:[&_a]:border-b-[2px]"><p>Atlas Vector Search supports embeddings from any provider that is under the 4096-dimension limit on the service. 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ease;position:absolute;border-top:none;border-left:none;-webkit-transform:rotate(-45deg);-moz-transform:rotate(-45deg);-ms-transform:rotate(-45deg);transform:rotate(-45deg);right:0;}</style><span data-testid="chevron-head" class="css-awipqv"></span></span></span></div></span></span></a></div></div></span></div></div></div><div role="button" tabindex="0" aria-label="accordion-tab" aria-controls="content-6" aria-expanded="false" class="border-black30 col-span-full border-x-inc00 border-b-[1px] border-t-inc00 border-solid py-inc50 first:border-t-[1px]"><div aria-label="accordion-tab-head" class="flex cursor-pointer select-none items-center" role="button" tabindex="-1"><h3 class="text-blue80 m-inc00 mr-inc30 flex-1 font-euclid-circular-a text-inc30 font-medium leading-headingXSResponsive lg:text-inc50 lg:leading-headingXS">Does Atlas Vector Search work with images, media files, and other types of data?</h3><img src="https://webimages.mongodb.com/_com_assets/cms/kx0wvn02iwn4zu68z-plus.svg?auto=format%252Ccompress" class="size-[24px] lg:size-[32px]" alt="Plus Button"/></div><div aria-label="accordion-tab-body" class="mt-inc00 h-full overflow-hidden pr-inc40" style="max-height:0px;transition:max-height .2s ease-in-out"><div class="mr-inc20"><span class="m-inc00 font-euclid-circular-a font-normal leading-inc30 lg:text-inc30 text-black50 [&_a]:font-medium [&_a]:no-underline [&_a]:text-blue60 [&_a]:border-black80 [&_a]:border-x-inc00 [&_a]:border-b-[0] [&_a]:border-t-inc00 [&_a]:border-solid [&_a]:transition-all hover:[&_a]:border-b-[2px]"><p>Yes, Atlas Vector Search can query any kind of data that can be turned into a vector embedding. One of the benefits of the document model is that you can store your embeddings right alongside your rich data in your documents.</p></span></div></div></div></div></div></div><div class="relative overflow-hidden bg-green80 lg:rounded-tr-inc110 lg:rounded-br-inc110"><div class="px-outsideGutterSmall md:px-outsideGutterMedium lg:px-outsideGutterLarge duration-inc30 ease-out [transition-property:background-color,color,fill,stroke] pt-inc150 pb-inc150"><div class="absolute bottom-auto left-auto right-[0px] top-[0px] max-lg:hidden"><svg xmlns="http://www.w3.org/2000/svg" width="560" height="483" viewBox="0 0 560 483" fill="none"><path fill-rule="evenodd" clip-rule="evenodd" d="M560 482.947V0H0.522937C6.90478 74.7679 69.3271 133.689 145.772 134.232L150.808 134.276C231.476 134.851 296.594 200.452 296.594 281.216C296.594 362.377 362.33 428.155 443.44 428.155H445.605C491.842 428.155 533.084 449.531 560 482.947Z" fill="#00ED64"></path></svg></div><style data-emotion="css 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